Smart Innovators: Enterprise AI Services

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Executive Summary

This report provides a detailed analysis of the enterprise AI services market, spotlighting 25 leading providers with comprehensive capabilities tailored to various industries and AI maturity levels. It offers buyers a high-level evaluation of these providers and their offerings, helping executives compare their strengths across six critical capabilities: AI strategy; data and cloud; AI talent and enterprise management; responsible AI; generative AI; and AI and ML model development. Insights from our research highlight key challenges, such as aligning AI investments with business objectives, navigating complex AI integration processes, ensuring regulatory compliance, and fostering workforce readiness. The report also explores emerging trends that will shape the evolution of enterprise AI services, offering actionable insights for organizations looking to stay ahead in this rapidly evolving space.

Table of contents

Summary for decision-makers
Firms value AI but face significant barriers to adoption

AI budgets are on the rise as firms leverage external expertise to navigate growing complexity
Service providers drive AI use case expansion, despite customer maturity challenges
Introducing the enterprise AI services market
Enterprise AI service providers have varied heritages
Enterprise AI service providers deliver 10 core capabilities
Innovative capabilities drive innovation in enterprise AI services
Key priorities for service providers and corporate buyers in the AI era
AI maturity should dictate buyer priorities for services spend
Service providers require workforce and capability alignment to support firms across all AI maturity levels


Table of figures

Figure 1. Change in spend on AI-centric projects over the next 12 months
Figure 2. AI project rollout across functional areas
Figure 3. Change in spend on consultant-led technology implementation projects over the next 12 months
Figure 4. Factors slowing AI adoption
Figure 5. The five levels of AI sophistication
Figure 6. Enterprise AI service providers: capabilities assessment
Figure 7. Service provider capabilities mapped to buyer AI maturity

About the authors

Josh Graessle

Senior Analyst
Josh is a Senior Analyst in the Verdantix Industrial Transformation practice. Prior to joining Verdantix, Josh worked at Volvo Group, where he gained experience in factory support and implementation of industrial systems, industrial internet of things, digitalization, and data analytics. He holds a BS in Mechanical Engineering, as well as an MBA from the University of Delaware.

Malavika Tohani

Research Director, Industrial Transformation
Malavika leads the Verdantix Industrial Transformation practice. The team’s current research focusses on digital technologies and services that enable industrial operations become safer, efficient and sustainable such as asset maintenance and performance, industrial AI and data management, connected workforce and field service management, process safety and industrial engineering, design and construction. Malavika has over 20 years’ experience in research and strategy consulting. Malavika previously worked at Frost & Sullivan, managing and delivering advisory projects for clients involving expansion, acquisition, benchmarking and product development strategies. Malavika holds a MSc in Economics from Madras School of Economics.

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